{"id":"W2996017570","doi":"10.17157/mat.6.4.735","title":"Dr. Ram’s triage","year":2019,"lang":"en","type":"article","venue":"Medicine Anthropology Theory","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada; Fondation pour la Recherche Médicale","keywords":"Triage; Biopower; Vitality; Health care; Affect (linguistics); Standardization; Sociology; Psychology; Public relations; Medicine; Political science; Psychiatry; Law; Politics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00249932,0.0001827689,0.0006308084,0.0001373458,0.000806011,6.916163e-7,0.0002017763,0.0002691559,0.1231683],"category_scores_gemma":[0.001024603,0.0001218148,0.00004728279,0.0001801501,0.00104311,0.00004189813,0.000121772,0.0007780337,0.006736788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006877755,"about_ca_system_score_gemma":0.000241518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000416361,"about_ca_topic_score_gemma":0.00002887768,"domain_scores_codex":[0.9970009,0.001125997,0.0005936108,0.0003110087,0.0001764222,0.0007920063],"domain_scores_gemma":[0.9965722,0.002456562,0.0001900273,0.0004811975,0.0001137174,0.0001862804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001292682,0.0001450963,0.119077,0.0008497156,0.0002223665,0.00007030043,0.1137343,4.455059e-7,0.0006260962,0.3388426,0.3711621,0.05397731],"study_design_scores_gemma":[0.003052867,0.0005690979,0.009576024,0.0001575149,0.00003544712,0.000004459052,0.09522841,0.000006063888,0.00001207982,0.004521233,0.8867046,0.0001321964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1580127,0.004497121,0.0008723716,0.2286984,0.01039721,0.0014221,0.000008509673,0.000294512,0.5957971],"genre_scores_gemma":[0.7841908,0.001352643,0.00003516629,0.09439547,0.002176849,0.0001478464,0.0000208083,0.00004514753,0.1176353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6261781,"threshold_uncertainty_score":0.9940366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07171162709291488,"score_gpt":0.4893532746192773,"score_spread":0.4176416475263624,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}